(Senior) AI Engineer - Reinforcement Learning Manipulation
Tasks
- Collaborate with foundation model team
- Design test and refine manipulation algorithms
- Develop reinforcement learning algorithms
- Handle diverse object form factors
- Implement dynamic handoffs and object interactions
- Prototype and train deep neural networks in Python
- Solve grasping and contact rich manipulation challenges
- Translate sensor inputs into motor commands
- Write production code in C plus plus
Perks/Benefits
Skills/Tech-stack
C plus plus | Deep learning | Domain Adaptation | Dynamics | Grasp Synthesis | Markov Decision Process | Model Free Reinforcement Learning | Model-based reinforcement learning | Neural Networks | Policy Optimization | Proprioception | Python | Real-World Data | Reinforcement Learning | Robotic Manipulation | Self-Supervised Learning | Self-supervised | Sim-to-Real | Simulated Data | Supervised Learning | Tactile sensing | Trajectory Optimization | Transfer Learning
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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